{"uid":"cap_QCcLVZ9Du7vc27Qe-5hC8","slug":"agentdiet-arxiv-digest-distillation-cd0519f0","name":"AgentDiet ArXiv Digest Distillation","description":"15-App Autonomous Business-to-Agent (B2A) API Hub & MCP Suite. Supports Web Distillation, On-Chain Risk, DEX Token Intelligence, B2B Lead Enrichment, Domain OSINT, Email Verification, SEC Filings, GitHub Audits, Prompt Firewall, and native HTTP 402 (x402 Base USDC).","url":"https://onchain-risk-72343955726.us-central1.run.app/v1/arxiv-digest?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","properties":{"input":{"type":"object","required":["query"],"properties":{"query":{"type":"string","minLength":1,"description":"ArXiv paper ID (e.g. 2308.11432) or research topic search query"}},"additionalProperties":false},"output":{"type":"object","required":["status","roi_proof","data"],"properties":{"data":{"type":"object"},"status":{"type":"string"},"roi_proof":{"type":"object"}}}}},"responseSchema":{"type":"json","example":{"data":{"mode":"markdown","title":"Example Documentation","content":"# Example Documentation\nClean agent-ready markdown..."},"status":"ok","roi_proof":{"raw_tokens":14200,"tokens_saved":13520,"roi_multiplier":67.6,"distilled_tokens":680,"compression_ratio_pct":95.2}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"registry","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_qYgi9n7LSsRgx9X9zr8yr","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Fetches and distills ArXiv academic paper content into compressed, agent-ready markdown, reporting token savings and compression ratio","exampleAgentPrompt":"Can you fetch and distill this ArXiv paper — arxiv.org/abs/2310.06825 — into compressed markdown so I can read the key points without burning through my token budget?","exampleUseCases":[{"title":"Research paper briefing for agent","prompt":"Pull down the ArXiv paper at arxiv.org/abs/2401.00123 and give me a distilled markdown version — I want the key findings without reading all 30 pages."},{"title":"Token-efficient LLM context injection","prompt":"I need to inject the content of ArXiv paper 2312.11805 into my agent's context window without using too many tokens — can you fetch the distilled version?"},{"title":"Daily ArXiv digest for AI newsletter","prompt":"Grab the ArXiv paper arxiv.org/abs/2403.05119 and distill it into clean markdown with the title and compressed content so I can include it in today's AI newsletter."}],"resultDescription":"Returns a JSON object with status 'ok', a data object containing the distilled markdown content and paper title in the requested mode, and an roi_proof block showing raw vs distilled token counts, compression ratio percentage, and ROI multiplier demonstrating token savings achieved.","failureModes":["Invalid or non-existent ArXiv paper ID returns error status","ArXiv source unavailable or rate-limited causes fetch failure","Payment not completed (HTTP 402) blocks access until USDC payment made","Malformed URL parameter results in bad request error","Very short papers may show low compression ratio"],"whenToPreferThis":"Choose this endpoint when an AI agent needs to ingest ArXiv academic paper content while minimizing token usage. Ideal for pipelines where LLM context is limited or expensive, and a high-compression, clean markdown representation of academic papers is needed rather than raw full text. Prefer over direct ArXiv scraping when token efficiency and agent-readable formatting matter.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T06:45:00.324Z","isFirstParty":false,"canonicalSlug":"agentdiet-arxiv-digest-distillation-cd0519f0"}